Mapping the Cerebellar Cognitive Affective Syndrome in Patients with Chronic Cerebellar Strokes.

The cerebellar cognitive affective syndrome (CCAS) has been consistently described in patients with acute/subacute cerebellar injuries. However, studies with chronic patients have had controversial findings that have not been explored with new cerebellar-target tests, such as the CCAS scale (CCAS-S). The objective of this research is to prove and contrast the usefulness of the CCAS-S and the Montreal Cognitive Assessment (MoCA) test to evaluate cognitive/affective impairments in patients with chronic acquired cerebellar lesions, and to map the cerebellar areas whose lesions correlated with dysfunctions in these tests. CCAS-S and MoCA were administrated to 22 patients with isolated chronic cerebellar strokes and a matched comparison group. The neural bases underpinning both tests were explored with multivariate lesion-symptom mapping (LSM) methods. MoCA and CCAS-S had an adequate test performance with efficient discrimination between patients and healthy volunteers. However, only impairments determined by the CCAS-S resulted in significant regional localization within the cerebellum. Specifically, patients with chronic cerebellar lesions in right-lateralized posterolateral regions manifested cognitive impairments inherent to CCAS. These findings concurred with the anterior-sensorimotor/posterior-cognitive dichotomy in the human cerebellum and revealed clinically intra- and cross-lobular significant regions (portions of right lobule VI, VII, Crus I-II) for verbal tasks that overlap with the "language" functional boundaries in the cerebellum. Our findings prove the usefulness of MoCA and CCAS-S to reveal cognitive impairments in patients with chronic acquired cerebellar lesions. This study extends the understanding of long-term CCAS and introduces multivariate LSM methods to identify clinically intra- and cross-lobular significant regions underpinning chronic CCAS.

Is the Hypointensity in Motor Cortex the Hallmark of Amyotrophic Lateral Sclerosis?

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a devastating disease that targets motor neurons. Upper motor neurons degeneration is pathologically characterized by brain iron accumulation. Signal attenuation in the shape of a ribbon at the posterior border of the precentral gyrus can be observed on conventional magnetic resonance imaging (MRI) sequences including T2-weighted sequence. METHODS: With the aim to know the qualities of this potential marker of ALS, we conducted a prospective study. Patients with definite ALS in the age range of 40-70 years and healthy controls underwent 3T brain MRI using a standardized sequence. A second MRI was performed 18 months later under the same conditions in the patients with ALS. RESULTS: Most of the patients with ALS (91.66%) exhibited a "black ribbon" (BR) with an average area of 79.98 mm3. Signal attenuation discriminated ALS with a mean value of 63.97 arbitrary units (AU) on the left BR (95% CI: 60.67-67.27), a mean value of 59.15 AU (95% CI: 54.78-63.53) on the right BR, and a significant difference with control subjects presenting a mean value of 107.85 AU (p < 0.001). The optimal cut-off point for differentiating patients with ALS from controls (sensitivity, 0.92; specificity, 0.93) was 83 AU. Forced vital capacity and muscle strength in the contralateral upper extremity were significantly correlated with the ribbon intensity in ALS. Patients who underwent a second study exhibited significant changes in the BR related to the rapid evolution of the disease. CONCLUSIONS: This marker represents a valuable tool for the selection of candidates and their follow-up in clinical trials.

Fractal anatomy of the hippocampal formation.

PURPOSE: We believed that the hippocampal complex is a fractal, and we try to demonstrate it. METHODS: We selected 12 magnetic resonance (MR) studies from healthy brains. Five women and 7 men without neurological or psychiatric disease were analyzed. The age range was 50-71 years old, with a mean 57.1 ± 7.6 years. Image series of MR were obtained through 3D SPGR in scanner GE Singa 3.0 T (general Electric, USA), matrix acquisition 512 Å-512 Å-120, field size 240 mm, voxel size 0.47 mm Å-0.47 mm Å-1.2 mm, repetition time of 13 ms and eco time of 5.6 ms. The MRI were imported in DICOM format in the OsiriXsoftware where they were contoured. Post processing was done with ImageJ software; Box Counting method for fractal analysis and we also used the Box Counting method of the BoneJ plugin. RESULTS: All of the hippocampus analyzed were a fractal. The fractal dimension analysis distribution of the measurements had a central tendency. The mean of hippocampal fractal dimension was 1.32635, the range was from 1.3373 to 1.5344. We found a short interval of variability in the hippocampal fractal number. CONCLUSIONS: The hippocampal complex is a fractal. The fractal analysis must be an objective measurement that can help us as a descriptive tool in hippocampal anatomy and maybe in a close future in the diagnosis of anatomical alterations.

The painter from Sinaloa: artistic analysis of a case of spatial agnosia and neglect of visual shapes.

Paintings produced spontaneously by patients with neurological lesions represent a fascinating opportunity to analyze some aspects of the underlying disease and involved brain mechanisms. Many cases of artists who have suffered spatial neglect following a neurological disease have been reported in the literature. However, only a few studies evaluating the different subtypes of graphic neglect and aspects related to the construction of perspective (three dimensionality) in works of art have been published. In the present article, we present the case of an artist who, after resection of a central neurocytoma that affected the right thalamo-parietal connections, suffered an impairment of the ability to create perspective in his paintings and involuntary omission of only shapes in the left side of his paintings, although colors and contours were preserved.

Anosognosia in Amnestic Mild Cognitive Impairment Is Related to Diminished Hippocampal Volume Comparable to Alzheimer's Disease Dementia: Preliminary MRI Findings.

Although the presence of anosognosia in amnestic mild cognitive impairment (aMCI) may be predictive of conversion to Alzheimer's disease (AD), little is known about its neural correlates in AD and aMCI. Four different groups were compared using volumetric and diffusion magnetic resonance imaging metrics in regions of interest (hippocampus and cingulum cortex gray matter, cingulum bundle white matter): aMCI subjects with anosognosia (n = 6), aMCI subjects without anosognosia (n = 12), AD subjects with anosognosia (n = 6), and AD subjects without anosognosia (n = 9). aMCI subjects with anosognosia displayed a significantly lower gray matter density (GMD) in the bilateral hippocampus than aMCI subjects without anosognosia, which was accounted for by bilateral hippocampal differences. Furthermore, we identified that the mean hippocampal gray matter density of aMCI subjects with anosognosia was not statistically different than that of AD subjects. The groups of aMCI and AD subjects with anosognosia also displayed a lower GMD in the bilateral cingulum cortex compared to subjects without anosognosia, but these differences were not statistically significant. No statistically significant differences were found in the fractional anisotropy or mean diffusivity of the hippocampus or cingulum between subjects with and without anosognosia in aMCI or AD groups. While these findings are derived from a small population of subjects and are in need of replication, they suggest that anosognosia in aMCI might be a useful clinical marker to suspect brain changes associated with AD neuropathology.

Prediction of Mechanical Properties and Subjective Consistency of Meningiomas Using T1-T2 Assessment Versus Fractional Anisotropy.

OBJECTIVE: This study aims to evaluate quantitatively the mechanical properties of meningiomas and their correlation with the qualitative surgeon's assessment of consistency, as well as comparing the capability to predict tumor consistency of fractional anisotropy values calculated from the diffusion tensor imaging and T1/T2 signal intensities. METHODS: Sixteen patients with the diagnosis of intracranial meningioma were included. Fractional anisotropy values were calculated and T1/T2 assessment was performed. The qualitative assessment of the tumor consistency intraoperatively was determined by a neurosurgeon and quantitative assessment was obtained with the Warner-Bratzler mechanical test. RESULTS: Surgeon's qualitative assessment was concordant with the cutting force obtained from the mechanical tests (P = 0.046). There was a high correlation between tumor consistency reported by the surgeon and T1/T2 assessment (0.622/P = 0.01) and a moderate correlation with cutting force (0.532/P = 0.034) and elasticity (0.49/P = 0.05). Fractional anisotropy values for hard tumors were not significantly higher than for soft tumors (P = 0.115). There was no significant correlation between the fractional anisotropy and mechanical measurements (0.192/P = 0.3). Predictions of hard consistency in meningiomas were obtained with a sensitivity of 25% and a specificity of 100% when using the T1/T2 assessment and a sensitivity of 87.5% and a specificity of 50% when using the fractional anisotropy value. CONCLUSIONS: Qualitative surgeon's assessment was in accordance with measured mechanical properties. Fractional anisotropy value was not an independent predictor for tumor consistency and was not correlated with the mechanical tests results. T1/T2 assessment was correlated with mechanical properties and it can be used to discriminate very hard or soft tumors.